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Add Fréchet inception distance as a new metric. It should allow to use 2D and 3D inputs. For 2D, it should have the option to chose to use a network pretrained on Imagenet (from torchvision) or a netw…
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**Describe the bug**
I get the attached error and can't run pretrain.
I was able to execute up to pre-processing.
**To Reproduce**
Steps to reproduce the behavior:
1. In '...' directory, run co…
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Fréchet buvo prancūzas, tai būtų "Frešė". Aš siūlyčiau apskritai palikti originalo kalba.
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It's really a great work! However, on ImageNet-256 dataset, I test the FID between 50k images from the validation set and 50k images from the training set, the FID is about 7.6. (using two popular FID…
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HI! I got an TypeError as follows, already tried delete cache pkl file but still got this error.
My configuration is
`python3 train_3d.py --outdir ./outputs/motorbike/ --data ShapeNetCore.v1.render…
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I have tried 2 times with the 17 flowers dataset: https://www.robots.ox.ac.uk/~vgg/data/flowers/17/17flowers.tgz
```python
from denoising_diffusion_pytorch import Unet, GaussianDiffusion, Traine…
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Thank you for sharing the implementations of the GAN based models on popular datasets like CelebA.
I have implemented the WGAN-GP model (in PyTorch), the samples are looking closer the reported work …
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Hai Can you tell me how the FID and other metrics are obtained . did you take the mean value ?
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How to choose the best checkpoint from all the saved checkpoints?